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## RandAugment for Image Classification for Improved Robustness on the 🤗Hub!
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[Paper](https://arxiv.org/abs/1909.13719) | [Keras Tutorial](https://keras.io/examples/vision/randaugment/)
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**Excerpt from the Tutorial:**
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## About The dataset
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The model was trained on [**CIFAR-10**](https://huggingface.co/datasets/cifar10), consisting of 60000 32x32 color images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images.
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## RandAugment for Image Classification for Improved Robustness on the 🤗Hub!
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[Paper](https://arxiv.org/abs/1909.13719) | [Keras Tutorial](https://keras.io/examples/vision/randaugment/)
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Keras Tutorial Credit goes to : [Sayak Paul](https://twitter.com/RisingSayak)
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**Excerpt from the Tutorial:**
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## About The dataset
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The model was trained on [**CIFAR-10**](https://huggingface.co/datasets/cifar10), consisting of 60000 32x32 color images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images.
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---
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language:
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- "List of ISO 639-1 code for your language"
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- en
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tags:
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- RandAugment
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- Image Classification
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license: apache-2.0
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datasets:
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- cifar10
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metrics:
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- Accuracy
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